Nowadays, in the era of social media, customer input and feedback have significant impact on firm’s services and products. Companies face a significant challenge in extracting meaningful information from this unstructured, unorganized, massive, and fragmented data. Some research works has been done on Amharic sentiment analysis (AMSA), however none of them have looked at the aspect level by utilizing a deep learning approach. This work focuses on sentiment analysis of Amharic text utilizing aspect level with a hybrid deep learning approach. The dataset was acquired from Amhara Media Corporation's official Facebook page in Microsoft Excel format. Comment exporter software was used to create a dataset of 10,000 in excel format. Different machine learning techniques such as Convolutional neural network (CNN), Long short-term Memory (LSTM), CNN-LSTM and CNN-GRU were used to train and test the dataset. The result of the study shows that LSTM model performed better than other models with training accuracy of 99.10% having a very little difference from CNN-GRU model with 99.08% training accuracy.
如今，在社交媒体时代，顾客的输入和反馈对企业的服务和产品产生了重大影响。企业在从这些非结构化、无组织、大量和碎片化的数据中提取有意义的信息方面面临着重大挑战。一些关于阿姆哈拉语情感分析(AMSA)的研究工作已经完成，但是他们都没有利用深度学习方法来研究方面层面。这项工作的重点是利用方面层次和混合深度学习方法对阿姆哈拉语文本进行情感分析。数据集以Microsoft Excel格式从Amhara Media Corporation的官方Facebook页面获取。使用评论导出软件以excel格式创建10,000个数据集。使用卷积神经网络(CNN)、长短期记忆(LSTM)、CNN-LSTM和CNN- gru等不同的机器学习技术对数据集进行训练和测试。研究结果表明，LSTM模型的训练准确率为99.10%，优于其他模型，与CNN-GRU模型的训练准确率为99.08%相差很小。
{"title":"Comparative Analysis of Deep Learning Models for Aspect Level Amharic News Sentiment Analysis","authors":"Bekalu Tadele Abeje, Ayodeji Olalekan Salau, Habtamu Abate Ebabu, Aleka Melese Ayalew","doi":"10.1109/DASA54658.2022.9765172","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765172","url":null,"abstract":"Nowadays, in the era of social media, customer input and feedback have significant impact on firm’s services and products. Companies face a significant challenge in extracting meaningful information from this unstructured, unorganized, massive, and fragmented data. Some research works has been done on Amharic sentiment analysis (AMSA), however none of them have looked at the aspect level by utilizing a deep learning approach. This work focuses on sentiment analysis of Amharic text utilizing aspect level with a hybrid deep learning approach. The dataset was acquired from Amhara Media Corporation's official Facebook page in Microsoft Excel format. Comment exporter software was used to create a dataset of 10,000 in excel format. Different machine learning techniques such as Convolutional neural network (CNN), Long short-term Memory (LSTM), CNN-LSTM and CNN-GRU were used to train and test the dataset. The result of the study shows that LSTM model performed better than other models with training accuracy of 99.10% having a very little difference from CNN-GRU model with 99.08% training accuracy.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121108612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-23DOI: 10.1109/DASA54658.2022.9765110
S. Kannadhasan, R. Nagarajan, Kanagaraj Venusamy
In terms of critical properties such as S-parameters, VSWR, axial ratio, bandwidth, and operating frequency, the design and optimization of rectangular patch antennas, as well as a comparison of H-shaped patch antennas and rectangular patch antennas, have been investigated. A new approach of optimization is applied using the FEM (Finite Element Method). This FEM approach enables more exact calculations in the design of a Microstrip patch antenna, as well as an evaluation of the effects of different design factors including antenna dimensions (L & W) and substrate. The recommended antenna can function at frequencies ranging from 5.5 to 10.5 GHz. This 'H' shaped Microstrip antenna is expected to be supplied by a feed line consisting of 50 microstrips. The layout has been modified in order to better represent the improved findings.
{"title":"Performance Analysis of Patch Antenna for Wireless Communication","authors":"S. Kannadhasan, R. Nagarajan, Kanagaraj Venusamy","doi":"10.1109/DASA54658.2022.9765110","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765110","url":null,"abstract":"In terms of critical properties such as S-parameters, VSWR, axial ratio, bandwidth, and operating frequency, the design and optimization of rectangular patch antennas, as well as a comparison of H-shaped patch antennas and rectangular patch antennas, have been investigated. A new approach of optimization is applied using the FEM (Finite Element Method). This FEM approach enables more exact calculations in the design of a Microstrip patch antenna, as well as an evaluation of the effects of different design factors including antenna dimensions (L & W) and substrate. The recommended antenna can function at frequencies ranging from 5.5 to 10.5 GHz. This 'H' shaped Microstrip antenna is expected to be supplied by a feed line consisting of 50 microstrips. The layout has been modified in order to better represent the improved findings.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125326612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-23DOI: 10.1109/DASA54658.2022.9765072
Abdelhakim Dorbane, F. Harrou, Ying Sun
A flexible data-driven methodology was developed to forecast the mechanical behavior of an aluminum alloy, namely Al6061-T6, in the case of friction stir welding. Specifically, Gated recurrent unit (GRU), a deep learning model, was investigated in this study. This is the first time the GRU model has been used to forecast the stress-strain curve of a material. The major features of the GRU consist in its ability to model time-series data and rely only on historical and actual data from the investigated material. The performance of the GRU model has been demonstrated based on actual data collected by conducting uniaxial tensile testing on the base material, and friction stirred welded, both tested at a deformation speed of 10−3s−1. Forecasting tensile tests results showed promising and accurate results of the GRU-driven forecasting.
{"title":"Forecasting FSW Material’s Behavior using an Artificial Intelligence-Driven Approach","authors":"Abdelhakim Dorbane, F. Harrou, Ying Sun","doi":"10.1109/DASA54658.2022.9765072","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765072","url":null,"abstract":"A flexible data-driven methodology was developed to forecast the mechanical behavior of an aluminum alloy, namely Al6061-T6, in the case of friction stir welding. Specifically, Gated recurrent unit (GRU), a deep learning model, was investigated in this study. This is the first time the GRU model has been used to forecast the stress-strain curve of a material. The major features of the GRU consist in its ability to model time-series data and rely only on historical and actual data from the investigated material. The performance of the GRU model has been demonstrated based on actual data collected by conducting uniaxial tensile testing on the base material, and friction stirred welded, both tested at a deformation speed of 10−3s−1. Forecasting tensile tests results showed promising and accurate results of the GRU-driven forecasting.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122519872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-23DOI: 10.1109/DASA54658.2022.9765113
Richa Pramanik, S. Prabhu
While e-commerce evidently addresses consumer needs, businesses and their customers remain vulnerable to cyberattacks that could already be instituted against them. This paper presents an understanding of the antecedent factors that engender concerns among Indian consumers while using ecommerce websites. It aims to measure the perceived threats and data privacy issues that influence an individual’s approach to making a risk-informed buying decision.A Quantitative Method of approach has been adopted for this study. A preliminary set of five-point Likert-style questions with several subscales was designed and distributed online to a sample of 165 participants. The results were then evaluated using exploratory factor analysis technique to test the hypothesis.Factor Analysis of the survey underlined several parameters of an individual’s perception towards their personal information like- accountability and trust issues, geopolitical and data sharing concerns, and cyber security cognizance. It also provided an empirical understanding of the consumer-perceived model for an e-commerce transaction. Based on the findings, better industry-standard e-security frameworks and models can be implemented towards the consumers’ decision-making process. Knowledge from all these aspects can be applied to serve the research and practitioner groups.This study approaches a substantial research gap by providing real-time data for the variables affecting Indian customers’ attitudes towards security and data privacy concerns as online shopping transactions increase. The results add to a growing body of literature identifying and developing advanced ways to reevaluate the existing compliance strategies across e-commerce websites, making it conducive for the customers.
{"title":"Analysing Cyber Security and Data Privacy Models for Decision Making among Indian Consumers in an e-commerce environment","authors":"Richa Pramanik, S. Prabhu","doi":"10.1109/DASA54658.2022.9765113","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765113","url":null,"abstract":"While e-commerce evidently addresses consumer needs, businesses and their customers remain vulnerable to cyberattacks that could already be instituted against them. This paper presents an understanding of the antecedent factors that engender concerns among Indian consumers while using ecommerce websites. It aims to measure the perceived threats and data privacy issues that influence an individual’s approach to making a risk-informed buying decision.A Quantitative Method of approach has been adopted for this study. A preliminary set of five-point Likert-style questions with several subscales was designed and distributed online to a sample of 165 participants. The results were then evaluated using exploratory factor analysis technique to test the hypothesis.Factor Analysis of the survey underlined several parameters of an individual’s perception towards their personal information like- accountability and trust issues, geopolitical and data sharing concerns, and cyber security cognizance. It also provided an empirical understanding of the consumer-perceived model for an e-commerce transaction. Based on the findings, better industry-standard e-security frameworks and models can be implemented towards the consumers’ decision-making process. Knowledge from all these aspects can be applied to serve the research and practitioner groups.This study approaches a substantial research gap by providing real-time data for the variables affecting Indian customers’ attitudes towards security and data privacy concerns as online shopping transactions increase. The results add to a growing body of literature identifying and developing advanced ways to reevaluate the existing compliance strategies across e-commerce websites, making it conducive for the customers.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122534033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-23DOI: 10.1109/DASA54658.2022.9765234
Zainab Tkitek, Hager Triki
Nowadays, ergonomic has an important consideration when dealing with manual assembly line balancing problems because of the effects it can have on both productivity and human factor issues. In this case, the human factor has become an essential decision-making component within the company. The design of an assembly line can optimize ergonomic aspects based on the anthropometric and physiological characteristics of the workers.Assembly line balancing (ALB) assign individual tasks to work stations while respecting the physical, safety and quality requirements. The fundamental ALB problem is the way of getting an optimal assignment of tasks to the stations respecting well determined constraints and reaching certain objectives. This problem is often an active research area. In this paper, a new manual ALBP model is proposed. The contribution of this paper is based on the assignment of assembly tasks to workstations while taking into account a set of human operators that are actually available in a firm. Workers are assigned based on anthropometric and physiological characteristics such as arm measurement.The arm spam measurement will be considered in the proposed model like the length of the workstation for the operator to execute the work task comfortably.The objective of the problem is the minimization of the number of workstations to reduce the length of the novel line designed. An illustrated example randomly generated is finally tested with LINGO software and discussed.
{"title":"Optimizing ergonomic in manual assembly line balancing problem","authors":"Zainab Tkitek, Hager Triki","doi":"10.1109/DASA54658.2022.9765234","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765234","url":null,"abstract":"Nowadays, ergonomic has an important consideration when dealing with manual assembly line balancing problems because of the effects it can have on both productivity and human factor issues. In this case, the human factor has become an essential decision-making component within the company. The design of an assembly line can optimize ergonomic aspects based on the anthropometric and physiological characteristics of the workers.Assembly line balancing (ALB) assign individual tasks to work stations while respecting the physical, safety and quality requirements. The fundamental ALB problem is the way of getting an optimal assignment of tasks to the stations respecting well determined constraints and reaching certain objectives. This problem is often an active research area. In this paper, a new manual ALBP model is proposed. The contribution of this paper is based on the assignment of assembly tasks to workstations while taking into account a set of human operators that are actually available in a firm. Workers are assigned based on anthropometric and physiological characteristics such as arm measurement.The arm spam measurement will be considered in the proposed model like the length of the workstation for the operator to execute the work task comfortably.The objective of the problem is the minimization of the number of workstations to reduce the length of the novel line designed. An illustrated example randomly generated is finally tested with LINGO software and discussed.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122903378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-23DOI: 10.1109/DASA54658.2022.9765131
S. K. Yadav, Sudhanshu Kumar Jha, Sudhakar Singh, P. Dixit, Shiv Prakash, Astha Singh
The multiple sequence alignment (MSA) issues are contingent on dropping an MSA to a rectilinear sketch for every alignment phase. Though, these indicate the damage of information desired for precise alignment and gap scoring rate evidence. The single-objective and multi-objective techniques can be applied to the MSA problem. MSA can be classified into the NP-complete class of problems. Due to this classification, the genetic algorithm (GA) and variants that effectively solved the NP-complete class of problems can also solve the MSA problem to maximize the similarities among sequences. In this work, the dynamic programming-based algorithm for solving the MSA problems in bioinformatics has been discussed. A novel approach based on GA and variants is suggested for solving an MSA problem. MSA problem can be visualized as multi-objective optimization, so the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) can be applied. The single-objective and the multi-objective optimization problem are mathematically formulated and constraints related to both the objectives are identified. An adapted GA and NSGA-II are suggested to the MSA optimization problems.
{"title":"Optimizing Multiple Sequence Alignment using Multi-Objective Genetic Algorithms","authors":"S. K. Yadav, Sudhanshu Kumar Jha, Sudhakar Singh, P. Dixit, Shiv Prakash, Astha Singh","doi":"10.1109/DASA54658.2022.9765131","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765131","url":null,"abstract":"The multiple sequence alignment (MSA) issues are contingent on dropping an MSA to a rectilinear sketch for every alignment phase. Though, these indicate the damage of information desired for precise alignment and gap scoring rate evidence. The single-objective and multi-objective techniques can be applied to the MSA problem. MSA can be classified into the NP-complete class of problems. Due to this classification, the genetic algorithm (GA) and variants that effectively solved the NP-complete class of problems can also solve the MSA problem to maximize the similarities among sequences. In this work, the dynamic programming-based algorithm for solving the MSA problems in bioinformatics has been discussed. A novel approach based on GA and variants is suggested for solving an MSA problem. MSA problem can be visualized as multi-objective optimization, so the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) can be applied. The single-objective and the multi-objective optimization problem are mathematically formulated and constraints related to both the objectives are identified. An adapted GA and NSGA-II are suggested to the MSA optimization problems.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131253726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-23DOI: 10.1109/DASA54658.2022.9765067
K. Sekaran, Shanmugam S
Employee attrition is a great challenge for every organization. The growth of any organization directly depends on talented employees. Each employee is considered as a resource, trained over years on crucial skills, builds dependency over critical positions in an organization. There exists several reasons behind the decision made by the employee. It is the responsibility of the organization to identify the attrition of employees as it creates many implications for the processes. Retention of the employee, in turn, reduces the burden of hiring new candidates, increases stability, reduces wasting time on training, etc. To address this key challenge, a sophisticated interpretation model is employed to trace out the reason for attrition. This paper demonstrates the efficacy of two powerful Explainable AI (XAI) models named Local Interpre table Model-Agnostic Explainer (LIME) and Shapley Additive eXplainer (SHAP) on interpreting the factors deciding employee attrition. These models unveiled logical insights from the data that could assist the management authorities in countermeasure the risk of employee attrition.
{"title":"Interpreting the Factors of Employee Attrition using Explainable AI","authors":"K. Sekaran, Shanmugam S","doi":"10.1109/DASA54658.2022.9765067","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765067","url":null,"abstract":"Employee attrition is a great challenge for every organization. The growth of any organization directly depends on talented employees. Each employee is considered as a resource, trained over years on crucial skills, builds dependency over critical positions in an organization. There exists several reasons behind the decision made by the employee. It is the responsibility of the organization to identify the attrition of employees as it creates many implications for the processes. Retention of the employee, in turn, reduces the burden of hiring new candidates, increases stability, reduces wasting time on training, etc. To address this key challenge, a sophisticated interpretation model is employed to trace out the reason for attrition. This paper demonstrates the efficacy of two powerful Explainable AI (XAI) models named Local Interpre table Model-Agnostic Explainer (LIME) and Shapley Additive eXplainer (SHAP) on interpreting the factors deciding employee attrition. These models unveiled logical insights from the data that could assist the management authorities in countermeasure the risk of employee attrition.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127714245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-23DOI: 10.1109/DASA54658.2022.9765143
K. Alzubi, Wesam Salah Alaloul, Marsail Al Salaheen, Abdul Hannan Qureshi, M. A. Musarat, Aawag Mohsen Alawag
The Internet of Things (IoT) is pervasive across nearly all industries, and construction is no exception. The use of IoT in construction enhances the management, development, and monitoring of infrastructure and structures. It also reduces the drawbacks of traditional approaches, such as their proneness to errors, time and expense constraints, and risks. The study's goal is to look at different areas where IoT can be used in the building industry. The study examines numerous elements of IoT adoption in the construction industry, including safety, decision-making, monitoring, productivity, and performance applications, as well as the constraints of the technologies utilized. This aids in determining the areas in which the Internet of Things can be used to improve the building business. The use of IoT enhances the efficiency with which construction projects are completed, as well as how the use of new technologies for monitoring will result in more effective monitoring. As a result, data regarding the building site may be collected efficiently, correctly, and in real time, allowing management to make better decisions.
{"title":"Reviewing the Applications of Internet of Things in Construction Projects","authors":"K. Alzubi, Wesam Salah Alaloul, Marsail Al Salaheen, Abdul Hannan Qureshi, M. A. Musarat, Aawag Mohsen Alawag","doi":"10.1109/DASA54658.2022.9765143","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765143","url":null,"abstract":"The Internet of Things (IoT) is pervasive across nearly all industries, and construction is no exception. The use of IoT in construction enhances the management, development, and monitoring of infrastructure and structures. It also reduces the drawbacks of traditional approaches, such as their proneness to errors, time and expense constraints, and risks. The study's goal is to look at different areas where IoT can be used in the building industry. The study examines numerous elements of IoT adoption in the construction industry, including safety, decision-making, monitoring, productivity, and performance applications, as well as the constraints of the technologies utilized. This aids in determining the areas in which the Internet of Things can be used to improve the building business. The use of IoT enhances the efficiency with which construction projects are completed, as well as how the use of new technologies for monitoring will result in more effective monitoring. As a result, data regarding the building site may be collected efficiently, correctly, and in real time, allowing management to make better decisions.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132701850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-23DOI: 10.1109/DASA54658.2022.9765183
V. S, Dhanya Pramod, R. Raman
Manufacturing, Financial Services and the telecom sector have made immense use of technology and automation. Artificial intelligence in choosing travel routes or searching for the correct item to buy on an e-commerce platform is popular with postgraduate students. The paper delves into aspects related to students' technology readiness, and awareness about the artificial intelligence (AI) services in financial services impacts their intention to use AI in financial investment decisions. Specific aspects of the study include an optimistic view towards technology, an innovative approach towards technology, technological uneasiness, and a lack of trust in technology and its influence on using AI tools to make investment decisions. The study was done on postgraduate students who had work experience in the fintech domain. Results indicate an optimistic view towards technology, and awareness positively influence their intention to use financial robots / AI tools while taking investment decisions and technological uneasiness. Lack of trust in technology has a negative influence. Easiness of use and utility of the AI tools also significantly influence students while they consider using financial robots / AI tools for investment decisions.
{"title":"Intention to use Artificial Intelligence services in Financial Investment Decisions","authors":"V. S, Dhanya Pramod, R. Raman","doi":"10.1109/DASA54658.2022.9765183","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765183","url":null,"abstract":"Manufacturing, Financial Services and the telecom sector have made immense use of technology and automation. Artificial intelligence in choosing travel routes or searching for the correct item to buy on an e-commerce platform is popular with postgraduate students. The paper delves into aspects related to students' technology readiness, and awareness about the artificial intelligence (AI) services in financial services impacts their intention to use AI in financial investment decisions. Specific aspects of the study include an optimistic view towards technology, an innovative approach towards technology, technological uneasiness, and a lack of trust in technology and its influence on using AI tools to make investment decisions. The study was done on postgraduate students who had work experience in the fintech domain. Results indicate an optimistic view towards technology, and awareness positively influence their intention to use financial robots / AI tools while taking investment decisions and technological uneasiness. Lack of trust in technology has a negative influence. Easiness of use and utility of the AI tools also significantly influence students while they consider using financial robots / AI tools for investment decisions.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132742398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-23DOI: 10.1109/DASA54658.2022.9765163
Abhishek Nagre, Anshuman Sen
The emergence of e-commerce has given birth to many big and small online businesses which are operating through apps and websites. These apps and websites use payment gateways to facilitate the online monetary transactions between the business and the customer. As these payment gateways handle sensitive customer data and act as enablers for online transactions, it is most vital to pay attention to the security of their framework. The objective of this paper is to find ways to optimize the security of the payment gateways by performing secondary research and analysing all the former cases of breaches that happened at the payment gateway level and then come up with a standardized set of security measures to prevent future attacks. This paper is unique as it will help the government to find out whether the current regulations are needed to be revised and updated. The study will also aid the companies and the payment aggregators to adopt certain must-have security aspects in their operation framework to prevent future breaches.
{"title":"Study Of Security Postures In Payment Gateways Using a Case Study Approach","authors":"Abhishek Nagre, Anshuman Sen","doi":"10.1109/DASA54658.2022.9765163","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765163","url":null,"abstract":"The emergence of e-commerce has given birth to many big and small online businesses which are operating through apps and websites. These apps and websites use payment gateways to facilitate the online monetary transactions between the business and the customer. As these payment gateways handle sensitive customer data and act as enablers for online transactions, it is most vital to pay attention to the security of their framework. The objective of this paper is to find ways to optimize the security of the payment gateways by performing secondary research and analysing all the former cases of breaches that happened at the payment gateway level and then come up with a standardized set of security measures to prevent future attacks. This paper is unique as it will help the government to find out whether the current regulations are needed to be revised and updated. The study will also aid the companies and the payment aggregators to adopt certain must-have security aspects in their operation framework to prevent future breaches.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132812662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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